Head of Data
- Head of the data function, including data engineering, data science and analytics, and data governance
- Tools: Python, dbt, BigQuery, Snowflake, SQL Server, Metabase, multi-cloud infrastructure (GCP + Azure)
Head of Data
- Designing and implementing our foundational data infrastructure to support the leveraged use of data across the company and externally
- Responsible for developing and executing on the data strategy for the business, including our initial metrics framework and defining how teams should use data to make decisions
- Serving as a reviewer and subject matter expert for curriculum in our data science vertical
- Tools: Python, dbt, BigQuery, Segment, Stitch, Metabase
Director, Data Science and Analytics
- Head of the data science function and responsible for team operations, technical leadership, hiring, performance management
- I built a high performance team with data scientists embedded in our product and marketing teams
- My team's scope is broadly focused on driving decision-making across the company through quantitative methods (exploratory analysis, applied statistics, A/B testing, causal inference)
- Tools: Python, R, Redshift, Airflow, Periscope
Senior Product Analytics Manager (Growth and Core Product)
- Hired and managed a team of product analysts embedded in the growth product and core product groups
- Rapidly scaled the team by hiring and onboarding five new product analysts in 12 months
- Developed product analytics prioritization processes in consultation with cross-functional partners
- Tools: Python, R, Hive
Senior Manager, Analytics (Product)
- Established and scaled the product analytics function, and hired/managed a team of data analysts
- Informed product direction and strategy through quantitative analysis of our student and instructor data
- Provided guidance, mentorship, and direction to the product analytics team and to the entire analytics team
- Frequently collaborated with our data infrastructure team to continuously improve data quality to enable higher quality analysis and increase trust in data across the organization
- Developed processes to standardize experimentation and experiment analysis across the product team
- Tools: Python, R, Redshift, Hive, Chartio, Tableau, Superset
Quantitative Analyst (Consumer Product)
- Worked on product, marketing, and SEO analytics
- Defined and tracked KPIs for the upper funnel of our consumer business
- Developed tools to track and monitor upstream SEO performance
- Partnered with our business intelligence team to improve our marketing channel definitions and attribution model